Principal Data Engineer

1 day ago

Remote, United StatesStaff+

Base Salary

$152k - $220k/yr

Responsibilities

Design, build, and optimize scalable data engineering solutions, including streaming data services, data pipelines, data platforms, and operational data systems.
Develop and implement hands-on data engineering solutions and advanced, highly complex data platforms.
Define and enforce data engineering standards, patterns, best practices, reusable frameworks, governance, security, data quality, and data management practices.
Lead complex, high-impact, cross-functional data initiatives and enterprise-scale data transformations.
Build and support enterprise streaming and data services beyond merely consuming existing platforms.
Ensure data platforms are reliable, well-modeled, accessible, secure, scalable, performant, resilient, and sustainable.
Partner with senior leadership, architects, product teams, and engineering teams on data strategy and roadmap planning.
Mentor senior engineers and technical leaders and elevate engineering practices across teams.
Evaluate emerging technologies and drive innovation and modernization across cloud-based data platforms and services.

Bachelor’s degree in Computer Science or a related field, or an equivalent combination of training and experience.
10+ years of data engineering experience.
Certified AWS Engineer or equivalent AWS certification.
Expert-level proficiency in Python, Spark, SQL, and modern data architectures.
Extensive hands-on experience with AWS and distributed data systems.
Proven experience building streaming data solutions, data services, scalable data platforms, batch and streaming data integrations, and operational data stores at enterprise scale.
Deep expertise in data modeling, ETL/ELT, data platform design, data governance, data quality, security standards, and data management.
Hands-on experience with Terraform or similar infrastructure-as-code tooling.
Demonstrated ability to define and implement enterprise-wide technical direction and engineering standards.
Proven enterprise-scale leadership, exceptional mentoring and organizational influence, and the ability to advise executive stakeholders and drive technical decisions.
Experience with Snowflake, data engineering or cloud data certifications, advanced AWS data services certifications, reusable data services or frameworks, and cloud-native data platform modernization is preferred.

Medical, dental, vision, and life insurance.
401(k) retirement plan with company matching contributions up to 6%, potential discretionary contributions, financial advisory services, and a broad investment lineup.
Tuition reimbursement up to $5,250 per year.
Business-casual environment with the option to wear jeans.
Paid time off upon hire, including a paid time off program, ten paid company holidays, and three floating holidays annually.
16 hours of paid volunteer time per calendar year.
Leave programs including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA).
Business Resource Groups supporting inclusion and collaboration.
Professional office environment; remote and hybrid workers must provide reliable wired high-speed internet and a suitable home workspace, and may be required to work in the office if requirements are not met.

10,000+ employees